Home GPU Comparison NVIDIA GeForce GTX 1650 Ti Mobile vs NVIDIA GeForce RTX 4080 Max-Q

NVIDIA GeForce GTX 1650 Ti Mobile vs NVIDIA GeForce RTX 4080 Max-Q

We compared two Mobile platform GPUs: 4GB VRAM GeForce GTX 1650 Ti Mobile and 12GB VRAM GeForce RTX 4080 Max Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA GeForce GTX 1650 Ti Mobile 's Advantages
Boost Clock has increased by 10% (1485MHz vs 1350MHz)
Lower TDP (50W vs 60W)
NVIDIA GeForce RTX 4080 Max-Q 's Advantages
Released 2 years and 9 months late
More VRAM (12GB vs 4GB)
Larger VRAM bandwidth (336.0GB/s vs 192.0GB/s)
6400 additional rendering cores

Score

Benchmark

FP32 (float)
GeForce GTX 1650 Ti Mobile
3.041 TFLOPS
GeForce RTX 4080 Max Q +558%
20.04 TFLOPS
VS

Graphics Card

Apr 2020
Release Date
Jan 2023
GeForce 16 Mobile
Generation
GeForce 40 Mobile
Mobile
Type
Mobile
PCIe 3.0 x16
Bus Interface
PCIe 4.0 x16

Clock Speeds

1350 MHz
Base Clock
795 MHz
1485 MHz
Boost Clock
1350 MHz
1500 MHz
Memory Clock
1750 MHz

Memory

4GB
Memory Size
12GB
GDDR6
Memory Type
GDDR6
128bit
Memory Bus
192bit
192.0GB/s
Bandwidth
336.0GB/s

Render Config

16
SM Count
58
-
Compute Units
-
1024
Shading Units
7424
64
TMUs
232
32
ROPs
80
-
Tensor Cores
232
-
RT Cores
58
64 KB (per SM)
L1 Cache
128 KB (per SM)
1024 KB
L2 Cache
48 MB

Theoretical Performance

47.52 GPixel/s
Pixel Rate
108.0 GPixel/s
95.04 GTexel/s
Texture Rate
313.2 GTexel/s
6.083 TFLOPS
FP16 (half)
20.04 TFLOPS
3.041 TFLOPS
FP32 (float)
20.04 TFLOPS
95.04 GFLOPS
FP64 (double)
313.2 GFLOPS

Graphics Processor

TU116
GPU Name
AD104
N18P-G61
GPU Variant
GN21-X9
Turing
Architecture
Ada Lovelace
TSMC
Foundry
TSMC
12 nm
Process Size
4 nm
6.6 billion
Transistors
35.8 billion
284 mm²
Die Size
295 mm²

Board Design

50W
TDP
60W
-
Suggested PSU
-
No outputs
Outputs
Portable Device Dependent
None
Power Connectors
None

Graphics Features

12 (12_1)
DirectX
12 Ultimate (12_2)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
7.5
CUDA
8.9
6.6
Shader Model
6.7

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